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Record
Title
Classification of musical genres using hidden Markov models
Type
Student Paper
Publ. year
2017
Author/s
Dalin-Volsing, Sebastian
Department/s
Mathematical Statistics
In LUP since
2017-06-08
Downloads

Total This Year This Month
961 136 10
Downloads per country

Sweden 148 (15%)
United States of America 139 (15%)
India 59 (6%)
Germany 52 (5%)
Iran 43 (4%)
Brazil 40 (4%)
Russian Federation 35 (4%)
France 34 (4%)
United Kingdom of Great Britain and Northern Ireland 31 (3%)
China 26 (3%)
Japan 18 (2%)
Australia 17 (2%)
Philippines 16 (2%)
Canada 15 (2%)
Hong Kong (China) 14 (1%)
Indonesia 13 (1%)
Italy 13 (1%)
Turkiye 13 (1%)
Taiwan (China) 12 (1%)
Greece 11 (1%)
Slovenia 10 (1%)
Colombia 10 (1%)
Mexico 10 (1%)
Singapore 10 (1%)
Poland 10 (1%)
Netherlands (Kingdom of the) 10 (1%)
Egypt 9 (1%)
Czechia 9 (1%)
Unknown 7 (1%)
Ukraine 6 (1%)
Nepal 6 (1%)
Switzerland 5 (1%)
Romania 5 (1%)
Finland 5 (1%)
South Korea 5 (1%)
Spain 5 (1%)
Pakistan 4 (0%)
Myanmar 4 (0%)
Viet Nam 4 (0%)
New Zealand 4 (0%)
Azerbaijan 4 (0%)
Belgium 3 (0%)
South Africa 3 (0%)
Denmark 3 (0%)
Ghana 3 (0%)
Malaysia 3 (0%)
Morocco 3 (0%)
United Arab Emirates 3 (0%)
Ecuador 2 (0%)
Portugal 2 (0%)
Ireland 2 (0%)
Lebanon 2 (0%)
Austria 2 (0%)
El Salvador 2 (0%)
Cyprus 2 (0%)
Luxembourg 2 (0%)
Ethiopia 2 (0%)
Latvia 2 (0%)
Slovakia 2 (0%)
Serbia 1 (0%)
Bangladesh 1 (0%)
Croatia 1 (0%)
Argentina 1 (0%)
Israel 1 (0%)
Kazakhstan 1 (0%)
Kenya 1 (0%)
Tunisia 1 (0%)
Nigeria 1 (0%)
Algeria 1 (0%)
Lithuania 1 (0%)
Saudi Arabia 1 (0%)
Thailand 1 (0%)
Uruguay 1 (0%)
Cameroon 1 (0%)
Dominican Republic 1 (0%)
Eswatini 1 (0%)
Jordan 1 (0%)
Cuba 1 (0%)
Hungary 1 (0%)
Chile 1 (0%)
Estonia 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Wed Sep 25 08:48:23 2024